Senior Analytics Engineer

<p>Bounce powers a global network of 10,000 local businesses that offer luggage storage, package acceptance, and more. We aim to create the world's largest tech-enabled two-way market platform, seamlessly connecting retail chains and travelers through an intuitive app. Our vision is to serve as the "OS for brick &amp; mortar SMB stores," activating new revenue streams with just a “flip of a switch”.</p><p>To achieve this, we're seeking dedicated builders who share our core values: innovative, results-driven, scrappy, visionary, and passionate about building a trailblazing company. Bounce is headquartered in Lisbon, Portugal, with a global presence. We are proudly backed by leading Silicon Valley investors, including <a href="https://a16z.com/2022/04/26/investing-in-bounce/" rel="noopener noreferrer nofollow" target="_blank">Andreessen Horowitz</a> and General Catalyst. Our exceptional team ceaselessly challenges the limits of our achievements. Learn more about Bounce's Series A, spearheaded by a16z, <a href="https://techcrunch.com/2022/04/26/bounce-series-a-a16z/" rel="noopener noreferrer nofollow" target="_blank"><strong>here</strong></a>!</p><p></p><p><strong>🧑‍💻 What is this role?</strong></p><p>Bounce is seeking a <strong>Senior</strong> <strong>Analytics Engineer</strong> to join our Lisbon office. </p><p>This position is key to fortifying our data infrastructure, and pivotal for our operational excellence and product innovation. Your role will concentrate on developing and optimizing our data platform, including ETL processes and data modeling, to facilitate scalable and efficient data usage.<br/></p><p>Your focus will be on architecting robust data solutions, improving data flow and collection for comprehensive analysis, and building the foundation that enables advanced analytics and data-driven decision-making across the company. </p><p>Your contributions will be crucial in transforming raw data into actionable insights, powering strategic initiatives, and guiding Bounce toward achieving its ambitious goals. You are the architect behind our data-driven strategies, ensuring our foundation is solid and poised for growth.</p><p></p><p><strong>👷🏾‍♀️ What you’ll be doing</strong></p><ul><li><p>Partner with data engineering, product development, and business stakeholders. Dive deep into their data needs, decode their language, and transform these insights into infrastructure and tooling that enables a data-driven culture.</p></li><li><p>Be the detective who spots the gaps in our product analytics data. Join forces with our brilliant engineering squads to enhance product data tracking and attribution, ensuring we have the clearest picture of what's happening.</p></li><li><p>Create robust testing and monitoring systems that stand as guardians of data quality and build documentation that paves the way for data accessibility to every stakeholder.</p></li><li><p>Unleash the power of data to monitor and track the beating heart of our operations. Create eye-catching dashboards that serve as our compass, craft strategies for expansion, and wield your forecasting skills like a seasoned fortune teller.</p></li><li><p>Roll up your sleeves and contribute to the evolution of our analytics pipelines. Introduce automation wherever it makes sense, breathing new life into our data pipelines and analyses.</p></li><li><p>Lead the cause of data and data-driven decisions. Be the champion who empowers informed choices throughout our organization.</p></li><li><p>Be an owner, taking a personal stake in the success of the product and the team.</p><p></p></li></ul><p><strong>✅ Your profile</strong></p><ul><li><p>Degree in a quantitative field such as statistics, economics, operations research or engineering, or relevant work experience</p></li><li><p>5+ years of industry experience in a similar role</p></li><li><p>Advanced proficiency in SQL (bonus points for GCP's BigQuery!)</p></li><li><p>Experience with ETL/ELT tools (bonus points for dbt!)</p></li><li><p>Experience with Orchestration tools (bonus points for Apache Airflow!)</p></li><li><p>Proficiency with CDP tools such as Segment or similar</p></li><li><p>Experience with data visualization tools such as Amplitude, Metabase, Hex, or similar</p></li><li><p>Knowledge of data warehousing concepts, big data technologies, and analytics platforms.</p></li><li><p>Strong oral and written communication skills and ability to collaborate with and influence cross-functional partners</p></li><li><p>Avid learner and practical problem solver</p></li><li><p>Professional proficiency in English, written and spoken</p></li></ul><p></p><p><strong>🎁 We offer</strong></p><ul><li><p>The opportunity to contribute to a well-funded and proven startup with ambitious goals.</p></li><li><p>Competitive salary and a generous equity package.</p></li><li><p>Private health insurance.</p></li><li><p>Flexible vacation/time-off policy.</p></li><li><p>Vibrant office in the heart of Lisbon, located in the bus